Unified Analytics | Financial Services Workshop

Tuesday 25th June, Marylebone London
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Financial Services organisations today want to accelerate innovation by incorporating AI into their businesses. Machine Learning has become essential for use cases such as fraud detection, financial modeling, robo-advisors, client analytics, alternative data, etc. However, most companies struggle with preparing large datasets for analytics, managing the proliferation of ML frameworks, and moving models in development to production.

In this workshop, we’ll cover best practices for enterprises to use powerful open source technologies to simplify and scale your ML efforts. We’ll discuss how to leverage Apache Spark™, the de-facto data processing and analytics engine in enterprises today, for data preparation as it unifies data at massive scale across various sources. You’ll learn how to use ML frameworks (e.g. Tensorflow, XGBoost, Scikit-Learn, etc.) to train models based on different requirements. And finally, you can learn how to use Mlflow to track experiment runs between multiple users within a reproducible environment, and manage the deployment of models to production.

Join this half-day workshop to learn how unified analytics can bring data science and engineering together to accelerate your ML efforts.

What you will learn:

  • Learn how to build highly scalable and reliable pipelines for financial analytics
  • Deeper insight into Apache Spark and Databricks, including the latest updates with Databricks Delta
  • Train a model against financial data and learn best practices for working with ML frameworks (i.e. - XGBoost, Scikit-Learn, etc.)
  • Learn about MLflow to track experiments, share projects and deploy models in the cloud and on-prem
  • Network and learn from your ML and Apache Spark peers
  • Learn from a real-life use case: ABN Amro

08.30am-09.00am - Registration, Breakfast & Networking
09.00am-09.45am - Opening Remarks: Unifying Data Science and Data Engineering
09.45am-10.15am - Customer use case: ABN Amro
10.15am-10.45am - Networking with Peers
10.45am - 11.30am - Data Engineering: Preparing Data for Analytics
11.30am - 12.15pm - Data Science: Model Training and Machine Learning
12.15pm - 12.30pm - Q&A


Databricks Office

27 Baker Street, W1U 8EQ London

Tuesday 25th June - From 08.30am

Brian McConnell,                  Junta Nakai,                         Thimo Ten Veen
FSI Solution Architect        Industry Leader, FSI          Solution Architect
Databricks                               Databricks                              ABN Amro

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